Data sets used in ECCO Version 4 Release 3

Data sets used in ECCO Version 4 Release 3 Fukumori, Ichiro; Fenty, Ian; Forget, Gael; Heimbach, Patrick; King, Charmaine; Nguyen, An T.; Piecuch, Christopher; Ponte, Rui M.; Vinogradov, Nadya; Wang, Ou The latest state estimate produced by the consortium for Estimating the Circulation and Climate of the Ocean (ECCO Version 4 Release 3 or V4R3 for short) is constrained by a variety of satellite and in situ ocean observations. Many of these data sets (e.g., satellite altimetry, sea surface temperature, in situ hydrography) are extensions of those used in earlier Version 4 releases described by Forget et al. (2015, 2016), but others (regional and global ocean mass from satellite gravity, satellite surface salinity, Arctic temperature and salinity profiles, sea-ice concentration, and global mean sea level) are newly introduced in V4R3. All data sets used in V4R3 are available with the solution output at https://go.nasa.gov/2DTpmtk. A brief description of the data sets and the main processing applied to them is provided in this document, to complement full details of the V4R3 estimate discussed in Fukumori et al. (2017). Document describing observational input data sets for ECCO version 4.

from Department of Earth, Atmospheric, and Planetary Sciences http://bit.ly/2SKAL9d

ECCO LLC270 Ocean-Ice State Estimate

ECCO LLC270 Ocean-Ice State Estimate Zhang, Hong; Menemenlis, Dimitris; Fenty, Ian This document provides a brief introduction to ECCO LLC270, an ongoing global ocean- ice state estimate. As a pilot experiment, the first ECCO LLC270 product covers the time-period of 2001 to 2015 (later extended to 2017). This is particularly useful for ocean-ice sheet interaction studies. Extension back to 1992 is underway.

from Department of Earth, Atmospheric, and Planetary Sciences http://bit.ly/2PVJqPJ

MITgcm User Manual

MITgcm User Manual Alistair, Adcroft; Jean-Michel, Campin; Stephanie, Dutkiewicz; Constantinos, Evangelinos; David, Ferreira; Gael, Forget; Baylor, Fox-Kemper; Patrick, Heimbach; Chris, Hill; Ed, Hill; Helen, Hill; Oliver, Jahn; Martin, Losch; John, Marshall; Guillaume, Maze; Dimitris, Menemenlis; Andrea, Molod User manual for the MIT General Circulation Model (MITgcm).

from Department of Earth, Atmospheric, and Planetary Sciences https://ift.tt/2LPnAPZ

Acceleration Profiles and Processing Methods for Parabolic Flight: Supplemental Material

Acceleration Profiles and Processing Methods for Parabolic Flight: Supplemental Material Carr, Christopher E.; Bryan, Noelle C.; Saboda, Kendall; Bhattaru, Srinivasa Aditya; Ruvkun, Gary; Zuber, Maria T. Supplemental material (dataset, code) for the manuscript: Carr CE, Bryan NC, Saboda K, Bhattaru SA, Ruvkun G, Zuber MT. Acceleration Profiles and Processing Methods for Parabolic Flight. doi: TBD. The dataset includes: 3-axis DC accelerometer (>400 Hz), piezoelectric accelerometer (5 kHz), and low-frequency pressure and temperature (1 Hz) data. In addition, MATLAB analysis code is provided to implement the methodology described in the paper at http://ift.tt/2kpADrN. Dataset contains raw and calibrated data for a parabolic flight as well as a short lab recording used to confirm calibration accuracy (1.0 GB ZIP).

from Department of Earth, Atmospheric, and Planetary Sciences http://ift.tt/2jTbbLw

Cloud-based solutions for distributed climate modeling

Cloud-based solutions for distributed climate modeling Vinogradova, Nadya; Shiffer, Mark; Forget, Gael; Hill, Christopher N. A new, cloud-based framework for climate modeling is introduced allowing to run climate models at the “click of a button”. The framework aims to simplify dissemination of climate models, increase transparency of modeling activities, expand their user base, and facilitate broader research collaboration. ECCO in the cloud - overview

from Department of Earth, Atmospheric, and Planetary Sciences http://ift.tt/2xqeuRW

A Note on Practical Evaluation of Budgets in ECCO Version 4 Release 3

A Note on Practical Evaluation of Budgets in ECCO Version 4 Release 3 Piecuch, Christopher G. An outline and technical description is provided for evaluating tracer budgets (heat, salt, volume) offline using available monthly ECCOv4 model diagnostic output. Methods described here are intended for analysis of model output on its native spatial grid.

from Department of Earth, Atmospheric, and Planetary Sciences http://ift.tt/2wnSvun

ECCO Version 4 Release 3

ECCO Version 4 Release 3 Fukumori, Ichiro; Wang, Ou; Fenty, Ian; Forget, Gael; Heimbach, Patrick; Ponte, Rui M. This note provides a brief synopsis of ECCO Version 4 Release 3, an updated edition to the global ocean state estimate described by Forget et al. (2015b, 2016), covering the period 1992-2015. This note provides a brief synopsis of ECCO Version 4 Release 3.

from Department of Earth, Atmospheric, and Planetary Sciences http://ift.tt/2t28nB7

A Twenty-Year Dynamical Oceanic Climatology: 1994-2013. Part 2: Velocities, Property Transports, Meteorological Variables, Mixing Coefficients

A Twenty-Year Dynamical Oceanic Climatology: 1994-2013. Part 2: Velocities, Property Transports, Meteorological Variables, Mixing Coefficients The ECCO Consortium The World Ocean Circulation Experiment (WOCE) was created to produce the first truly climatologically useful picture of the ocean circulation and its variability. This goal is addressed here from the state estimate of the Estimating the Circulation and Climate of the Ocean (ECCO) consortium, which uses almost all of the data obtained during WOCE and its aftermath along with the much improved general circulation modeling capabilities. A dynamically and data-consistent, state estimate is available depicting the ocean and its ice-cover over a 24-year time-span, globally, from the sea surface to the sea floor. The resulting time-dependent 20-year long climatology includes temperature, salinity, surface elevation, bottom pressure, sea-ice, and three components of velocity. Accompanying the state estimate are modified estimates of meteorological forcing-fields, ocean interior mixing coefficients, and initial conditions. Much spatial structure persists through the two-decade averaging. Results here are primarily pictorial in nature, intended to give the wider community a sense of what is now available and useful and where more detailed analysis would be fruitful. An extended reference list is included. This is Part 2 of a series of preprints describing a twenty-year dynamical oceanic climatology derived from ECCO version 4, release 3. The associated fields will be made available on the ECCO data server (http://ecco-group.org).

from Department of Earth, Atmospheric, and Planetary Sciences http://ift.tt/2szpzOR

A Twenty-Year Dynamical Oceanic Climatology: 1994-2013. Part 1: Active Scalar Fields: Temperature, Salinity, Dynamic Topography, Mixed-Layer Depth, Bottom Pressure.

A Twenty-Year Dynamical Oceanic Climatology: 1994-2013. Part 1: Active Scalar Fields: Temperature, Salinity, Dynamic Topography, Mixed-Layer Depth, Bottom Pressure. The ECCO Consortium The World Ocean Circulation Experiment (WOCE) was created to produce the first climatologically useful picture of the ocean circulation and its low-frequency variability. This goal is addressed here from the state estimate of the Estimating the Circulation and Climate of the Ocean (ECCO) consortium, which uses almost all of the data obtained during WOCE and its aftermath along with the much improved general circulation modeling capabilities. A dynamically and data-consistent, time-evolving, state estimate is available depicting the ocean and its ice-cover over a 23-year time-span, globally, from the sea surface to the sea floor. The resulting time-dependent 20-year long climatology includes temperature, salinity, surface elevation, bottom pressure, sea-ice, and three components of velocity. Accompanying the state estimate are modified estimates of meteorological forcing-fields, ocean interior mixing coefficients, and initial conditions. Much spatial structure persists through the two decade averaging. Results here are primarily pictorial in nature, intended to give the wider community a sense of what is now available and useful and where more detailed analysis would be fruitful. An extended reference list is included. This preprint describes a twenty-year dynamical oceanic climatology derived from ECCO version 4, release 3. The associated fields will be made available on the ECCO data server (http://ecco-group.org).

from Department of Earth, Atmospheric, and Planetary Sciences http://ift.tt/2mJtEsB

ECCO Version 4: Contents And Usage

ECCO Version 4: Contents And Usage Forget, Gael This presentation is an overview of ECCO version 4 that was given at the 2016 ECCO meeting (MIT; May 16-18, 2016). It reviews the ECCO v4 components and online locations (ECCO v4 release 2 directories, analysis software, model setup, global grids, and documentations). It then illustrates budget analyses, model-data comparisons, and model sensitivity experiments (forward and adjoint) that are readily enabled by ECCO v4 r2 (available online).

from Department of Earth, Atmospheric, and Planetary Sciences http://ift.tt/28YJqcg

ECCO Version 4: Second Release

ECCO Version 4: Second Release Forget, Gael; Campin, Jean-Michel; Heimbach, Patrick; Hill, Christopher N.; Ponte, Rui M.; Wunsch, Carl The purpose of this note is twofold: (1) document the second release of ECCO version 4 state estimates (ECCO v4-r2); (2) provide a citable identifier to distinguish it from the previous release (ECCO v4-r1; Forget et al 2015).

from Department of Earth, Atmospheric, and Planetary Sciences http://ift.tt/1SutD4K